AI-Accelerated Physics Simulation Engineer

Voyager Technologies, Inc.; Los Angeles (CA); On-site; USD 165,000 - 250,000; Full time

Job summary

Voyager Technologies, Inc. is seeking an Accelerated Physics Simulation Engineer who will develop fast, high‑fidelity physics simulations to evaluate hardware designs over millions of iterations.

You will work at the intersection of numerical methods, GPU computing and ML surrogates, building differentiable models to be called by ACE agents and validated against high‑fidelity solvers. This role suits a computational scientist who loves PDEs, GPUs and turning long runs into millisecond kernels,

Qualifications

• PhD in Computational Physics, Mechanical or Aerospace Engineering, Applied Mathematics, Computer Science (focus on numerical methods), or related field; or Masters + 3 years of highly relevant experience.
• 3 years of post-PhD industry, startup, or postdoctoral experience (or 36 years total experience working in computational science/engineering).
• Hands‑on experience implementing numerical methods for PDEs (e.g., FEM, FVM, FDM, particle or mesh‑free methods) in research or production environments.
• Experience with at least one major scientific computing or ML framework (e.g., JAX, PyTorch, TensorFlow) and one GPU or performance‑oriented technology (e.g., CUDA, PhysicsNEMO, etc).
• Demonstrated experience speeding up simulations or building surrogate models for physics problems, with quantitative before/after results.
• Demonstrated AI‑first workflow: you use LLMs to help generate, refactor, and test code so you can spend more time on modeling and physics.

Responsibilities

• Design and implement fast physics solvers (e.g., CFD, thermal, structural, plasma) suitable for use inside agentic optimization loops.
• Develop surrogate models (e.g., physics-informed neural networks, neural operators, graph neural networks) that approximate high-fidelity simulations at orders‑of‑magnitude lower cost.
• Integrate accelerated solvers and surrogates into the ACE platform so AI agents can call them as tools during design and optimization.
• Work with the ACE Applications Lead (Mechanical/Propulsion) to identify key regimes and quantities of interest and to ensure that accelerated models remain physically credible.
• Create and curate training and validation datasets by coupling commercial or open-source solvers (e.g., Ansys, COMSOL, Star-CCM+, OpenFOAM) with automated parameter sweeps.
• Profile and optimize GPU kernels and numerical pipelines, targeting large speedups over baseline codes while preserving required accuracy.
• Develop test harnesses, benchmarks, and diagnostics that track accuracy, stability, and performance of accelerated models over time.
• Use LLMs to accelerate boilerplate coding, experiment scripting, and documentation so you can focus on core numerical and physical insights.
• Leverage the most advanced LLMs and tooling to assist with complex mathematics and numerical simulation generation.

Skills

PDE methods

GPU computing

ML frameworks

AI-first workflow

Education

PhD in Computational Physics or related

Masters + 3 years experience

Tools

CUDA

JAX

PyTorch

TensorFlow

Job description

Voyager Technologies, Inc. is seeking an Accelerated Physics Simulation Engineer who will develop fast, high‑fidelity physics simulations to evaluate hardware designs over millions of iterations.

You will work at the intersection of numerical methods, GPU computing and ML surrogates, building differentiable models to be called by ACE agents and validated against high‑fidelity solvers. This role suits a computational scientist who loves PDEs, GPUs and turning long runs into millisecond kernels,